Service
RAG & Knowledge Systems
Let people ask your company what it already knows, without leaking what they should not see.
The problem
Your documentation is spread across a file share, a wiki, a ticketing system and eleven years of email. People know the answer exists. Finding it costs more than rewriting it. So they rewrite it, and now there are two versions.
How a question becomes a cited answer
A question is embedded and matched against indexed sources. Every candidate passage is then filtered against the permissions of the person asking, so documents inherit the access rights of their source system. Only permitted passages are assembled into context, and the answer links back to its exact source.
What we actually do
- Index the sources that actually hold answers, not everything you own.
- Map your identity model first: how documents inherit access rights from their source system, and how role hierarchies map to sensitivity.
- Filter every candidate passage against who is asking, before anything reaches the model.
- Attach the source to every answer. No citation, no answer.
- Measure retrieval quality against a test set built from your real questions, not a public benchmark.
When this is the wrong answer. Your documents are out of date or contradict each other. Retrieval will faithfully surface the wrong answer faster. Fix the source of truth first, and that is a content problem, not an AI one.
Problems this solves